Developing a Network-Level Structural Capacity Index for Asphalt Pavements

Bryce, James; Flintsch, Gerardo W.; Katicha, Samer W.; Diefenderfer, Brian K.

doi:10.1061/(asce)te.1943-5436.0000494

Cited by 25 publications

(18 citation statements)

References 6 publications

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“…A literature review was conducted to determine the network-level structural indices used by agencies that have begun incorporating deflection testing into their network-level testing schemes. A more detailed description of the indices considered in this study can be found in Bryce et al (10). The list of indices was narrowed down to the two that were the most promising for immediate implementation in the state pavement management system: the structural strength indicator (SSI) and the structural condition index (SCI).…”

Section: Structural Indicesmentioning

confidence: 99%

Enhancing Network-Level Decision Making through the use of a Structural Capacity Index

Bryce

Flintsch

Katicha

et al. 2013

Transportation Research Record

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The objective of this study was to show potential applications of a network-level structural index developed for evaluation of flexible pavements. First, several potential applications for implementation of network-level structural measures were identified, and then data from the state of Virginia were used to modify the proposed applications for the index and show examples of them. Several applications were validated with data from network-level deflection testing with the falling weight deflectometer on Interstate highways in Virginia and data from the Virginia Department of Transportation Pavement Management System. The results of the research indicate that including the structural index in the network-level decision process can facilitate a greater understanding of the behavior of the performance of a pavement. Furthermore, the index that was proposed for network-level evaluation of flexible pavements in Virginia was used to develop enhanced deterioration models for particular pavement treatments and to demonstrate the dependence of pavement performance on its structural capacity. It was shown that the functional characteristics of a pavement alone were not adequate to describe the structural condition of the pavement. Therefore, the structural condition, for example, as based on the results of deflection testing, should be considered when network-level pavement management decisions are made.

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Section: Structural Indicesmentioning

confidence: 99%

Enhancing Network-Level Decision Making through the use of a Structural Capacity Index

Bryce

Flintsch

Katicha

et al. 2013

Transportation Research Record

Self Cite

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show abstract

“…Hence, the introduction of a structural capacity index is suggested in network-level decisions to find the most cost-effective rehabilitation option [89]. On this basis, simplified deflection-based analytical techniques [90] and a new index related to the Structural Capacity Index (SCI) [91] have been introduced.…”

Section: Pavement Data Collectionmentioning

confidence: 99%

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

et al. 2018

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A bibliometric analysis based on Scopus database was carried out to identify the global research trends related to pavement management area from 2000 to 2013, and to improve the understanding of the research topics in that period. The results reveal two stable periods of annual publications, from 2000 to 2002 with an average rate of 27, and from 2003 to 2010 with a value of 51; and a period with an increasing production rate of 20 publications per year after 2010. According to the document-type distribution, articles and conference papers have almost the same contribution. The most productive country was the United States, followed by Canada and China. The research trend in the field of pavement management could be grouped into three main areas. The first one is related to pavement management systems, which attracted the greatest attention, especially optimization processes with various objectives and lifecycle cost analysis. The second group is about pavement performance modeling, where calibration of mechanical empirical models was largely developed. Lastly, data collection had also occupied several papers, mainly about cracking classification. Sustainability aspects in pavement management became an emergent issue. The trending issues in that period, in these categories, were summarized in the paper.

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“…where d = the required overlay in inches, SN req and SN eff are the required and effective SN, respectively; C is a factor based on the condition of the pavement [40]; the C factor represents the percent of the contributing structure that remains in the removed layer of asphalt; for the extent of this study, the value C = 0.35 would be used. This relationship based on a relationship proposed by Bryce, Flintsch, Katicha and Diefenderfer [20] assumes that the asphalt has an equivalent structural coefficient of 0.44 per in., and that the thickness of the design rehabilitation treatment that is associated with the contribution of the pavement overlay thickness will increase the current structural capacity in order to support the predicted accumulated traffic over the design period.…”

Section: Data Analysis: Deflection Datamentioning

confidence: 99%

“…This approach was adopted by the Virginia DOT at the network-level, who used it as a screening tool. SCI discriminates between pavements that needs structural reinforcement (SCI < 1) and those that are in sound structural condition (SCI > 1), giving a measure of the degree of structural deficiency [20]. Therefore, the remaining pavement structural capacity and service life can be calculated with this information for network-level decisions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pavement Condition Survey Data for Effective Implementation of a Network Level Pavement Management Program for Kazakhstan

Pantuso

Loprencipe

Bonin³

et al. 2019

Sustainability

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Pavement roads and transportation systems are crucial assets for promoting political stability, as well as economic and sustainable growth in developing countries. However, pavement maintenance backlogs and the high capital costs of road rehabilitation require the use of pavement evaluation tools to assure the best value of the investment. This research presents a methodology for analyzing the collected pavement data for the implementation of a network level pavement management program in Kazakhstan. This methodology, which could also be suitable in other developing countries' road networks, focuses on the survey data processing to determine cost-effective maintenance treatments for each road section. The proposed methodology aims to support a decision-making process for the application of a strategic level business planning analysis, by extracting information from the survey data.

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Developing a Network-Level Structural Capacity Index for Asphalt Pavements

Cited by 25 publications

References 6 publications

Enhancing Network-Level Decision Making through the use of a Structural Capacity Index

Enhancing Network-Level Decision Making through the use of a Structural Capacity Index

Research Trends in Pavement Management during the First Years of the 21st Century: A Bibliometric Analysis during the 2000–2013 Period

Analysis of Pavement Condition Survey Data for Effective Implementation of a Network Level Pavement Management Program for Kazakhstan

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